- Strong technical skill set
- Attractive perks and benefits
- Exposure to large-scale data
about the company
The client is a dynamic and innovative company at the forefront of the IT sector. They are seeking a skilled Data Engineer (Hadoop, Kafka, Spark) to manage and optimize their data infrastructure.
about the job
- Design, develop, and maintain scalable data pipelines and data warehouses.
- Implement and manage data processing frameworks using Hadoop, Kafka, and Spark.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality solutions.
- Optimize and troubleshoot data workflows to ensure performance, reliability, and scalability.
- Develop and maintain ETL processes and ensure data accuracy and consistency.
- Write efficient and effective code in SQL, Java, Python, or Scala to support data processing and integration.
- Familiarity with data visualization tools and techniques.
- Knowledge of data governance and data quality best practices.
skills and experience required
Strong hands-on experience with data warehousing and data processing technologies, including Hadoop, Kafka, and Spark.
Proficiency in SQL, Java, Python, or Scala.
Experience with ETL tools and data pipeline frameworks. Excellent problem-solving skills and the ability to work independently and collaboratively.
whats on offer
The permanent role for Data Engineer (Hadoop, Kafka, Spark) will pay a salary range of $ 8,000 to $ 10,000 plus perks from the company.
To apply online please use the 'apply' function, alternatively you can contact Olivia Toh at 84046595. (EA: 94C3609 / R22109942)
https://www.linkedin.com/in/Oliviatoh-032330132/.
